---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: es-en-model
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# es-en-model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2348
- Train Acc: 0.3632
- Validation Loss: 0.4936
- Validation Acc: 0.3406
- Epoch: 6

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Acc | Validation Loss | Validation Acc | Epoch |
|:----------:|:---------:|:---------------:|:--------------:|:-----:|
| 0.5028     | 0.3416    | 0.4575          | 0.3401         | 0     |
| 0.4209     | 0.3483    | 0.4518          | 0.3409         | 1     |
| 0.3689     | 0.3519    | 0.4544          | 0.3410         | 2     |
| 0.3269     | 0.3535    | 0.4618          | 0.3410         | 3     |
| 0.2914     | 0.3579    | 0.4712          | 0.3412         | 4     |
| 0.2611     | 0.3598    | 0.4824          | 0.3411         | 5     |
| 0.2348     | 0.3632    | 0.4936          | 0.3406         | 6     |


### Framework versions

- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2